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ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

16 September 2019
Chee-Kheng Chng
Yuliang Liu
Yipeng Sun
Chun Chet Ng
Canjie Luo
Zihan Ni
Chuanming Fang
Shuaitao Zhang
Junyu Han
Errui Ding
Jingtuo Liu
Dimosthenis Karatzas
Chee Seng Chan
Lianwen Jin
    3DV
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Abstract

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recognition, and iii) scene text spotting. A total of 78 submissions from 46 unique teams/individuals were received for this competition. The top performing score of each challenge is as follows: i) T1 - 82.65%, ii) T2.1 - 74.3%, iii) T2.2 - 85.32%, iv) T3.1 - 53.86%, and v) T3.2 - 54.91%. Apart from the results, this paper also details the ArT dataset, tasks description, evaluation metrics and participants methods. The dataset, the evaluation kit as well as the results are publicly available at https://rrc.cvc.uab.es/?ch=14

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